Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	3803
Missing cells	6996
Missing cells (%)	8.0%
Duplicate rows	126
Duplicate rows (%)	3.3%
Total size in memory	2.3 MiB
Average record size in memory	623.5 B

Variable types

Categorical	13
Numeric	10

Alerts

Dataset has 126 (3.3%) duplicate rows	Duplicates
`society` has a high cardinality: 676 distinct values	High cardinality
`sector` has a high cardinality: 104 distinct values	High cardinality
`areaWithType` has a high cardinality: 2355 distinct values	High cardinality
`price` is highly correlated with `property_type` and 3 other fields	High correlation
`price_per_sqft` is highly correlated with `price`	High correlation
`area` is highly correlated with `built_up_area` and 1 other fields	High correlation
`bedRoom` is highly correlated with `property_type` and 5 other fields	High correlation
`bathroom` is highly correlated with `property_type` and 5 other fields	High correlation
`super_built_up_area` is highly correlated with `price` and 3 other fields	High correlation
`built_up_area` is highly correlated with `area`	High correlation
`carpet_area` is highly correlated with `area`	High correlation
`servant room` is highly correlated with `bedRoom` and 2 other fields	High correlation
`property_type` is highly correlated with `price` and 4 other fields	High correlation
`balcony` is highly correlated with `bedRoom` and 1 other fields	High correlation
`floorNum` is highly correlated with `property_type`	High correlation
`agePossession` is highly correlated with `property_type`	High correlation
`facing` has 1105 (29.1%) missing values	Missing
`super_built_up_area` has 1888 (49.6%) missing values	Missing
`built_up_area` has 2070 (54.4%) missing values	Missing
`carpet_area` has 1859 (48.9%) missing values	Missing
`area` is highly skewed (γ1 = 30.23273447)	Skewed
`built_up_area` is highly skewed (γ1 = 41.21758008)	Skewed
`carpet_area` is highly skewed (γ1 = 24.7960836)	Skewed
`floorNum` has 134 (3.5%) zeros	Zeros
`luxury_score` has 486 (12.8%) zeros	Zeros

Reproduction

Analysis started	2023-10-13 07:57:36.379994
Analysis finished	2023-10-13 07:58:01.242299
Duration	24.86 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

property_type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	227.5 KiB

flat	2943
house	860

Length

Max length	5
Median length	4
Mean length	4.22613726
Min length	4

Characters and Unicode

Total characters	16072
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2943	77.4%
house	860	22.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
flat	2943	77.4%
house	860	22.6%

Most occurring characters

Value	Count	Frequency (%)
f	2943	18.3%
l	2943	18.3%
a	2943	18.3%
t	2943	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16072	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2943	18.3%
l	2943	18.3%
a	2943	18.3%
t	2943	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16072	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2943	18.3%
l	2943	18.3%
a	2943	18.3%
t	2943	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16072	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2943	18.3%
l	2943	18.3%
a	2943	18.3%
t	2943	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

society
Categorical

HIGH CARDINALITY

Distinct	676
Distinct (%)	17.8%
Missing	1
Missing (%)	< 0.1%
Memory size	274.6 KiB

independent	486
tulip violet	75
ss the leaf	74
shapoorji pallonji joyville gurugram	45
dlf new town heights	42
Other values (671)	3080

Length

Max length	49
Median length	39
Mean length	16.92267228
Min length	1

Characters and Unicode

Total characters	64340
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	291 ?
Unique (%)	7.7%

Sample

1st row	signature global park 4
2nd row	smart world gems
3rd row	pyramid elite
4th row	breez global hill view
5th row	bestech park view sanskruti

Common Values

Value	Count	Frequency (%)
independent	486	12.8%
tulip violet	75	2.0%
ss the leaf	74	1.9%
shapoorji pallonji joyville gurugram	45	1.2%
dlf new town heights	42	1.1%
signature global park	37	1.0%
shree vardhman victoria	35	0.9%
smart world gems	33	0.9%
smart world orchard	33	0.9%
emaar mgf emerald floors premier	32	0.8%
Other values (666)	2910	76.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
independent	491	4.9%
the	362	3.6%
dlf	225	2.2%
park	219	2.2%
city	172	1.7%
global	165	1.6%
signature	161	1.6%
emaar	159	1.6%
m3m	156	1.6%
heights	139	1.4%
Other values (783)	7779	77.6%

Most occurring characters

Value	Count	Frequency (%)
e	6935	10.8%
	6228	9.7%
a	6090	9.5%
r	4355	6.8%
n	4270	6.6%
i	3970	6.2%
t	3851	6.0%
s	3627	5.6%
l	3074	4.8%
o	2867	4.5%
Other values (31)	19073	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	57544	89.4%
Space Separator	6228	9.7%
Decimal Number	550	0.9%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6935	12.1%
a	6090	10.6%
r	4355	7.6%
n	4270	7.4%
i	3970	6.9%
t	3851	6.7%
s	3627	6.3%
l	3074	5.3%
o	2867	5.0%
d	2550	4.4%
Other values (16)	15955	27.7%

Decimal Number

Value	Count	Frequency (%)
3	216	39.3%
2	83	15.1%
1	76	13.8%
6	62	11.3%
8	35	6.4%
4	19	3.5%
5	17	3.1%
9	15	2.7%
7	14	2.5%
0	13	2.4%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6228	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	57544	89.4%
Common	6796	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6935	12.1%
a	6090	10.6%
r	4355	7.6%
n	4270	7.4%
i	3970	6.9%
t	3851	6.7%
s	3627	6.3%
l	3074	5.3%
o	2867	5.0%
d	2550	4.4%
Other values (16)	15955	27.7%

Common

Value	Count	Frequency (%)
	6228	91.6%
3	216	3.2%
2	83	1.2%
1	76	1.1%
6	62	0.9%
8	35	0.5%
4	19	0.3%
5	17	0.3%
9	15	0.2%
7	14	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64340	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6935	10.8%
	6228	9.7%
a	6090	9.5%
r	4355	6.8%
n	4270	6.6%
i	3970	6.2%
t	3851	6.0%
s	3627	5.6%
l	3074	4.8%
o	2867	4.5%
Other values (31)	19073	29.6%

sector
Categorical

HIGH CARDINALITY

Distinct	104
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	246.0 KiB

sohna road	175
sector 102	113
sector 85	110
sector 92	105
sector 69	94
Other values (99)	3206

Length

Max length	17
Median length	9
Mean length	9.203523534
Min length	7

Characters and Unicode

Total characters	35001
Distinct characters	30
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	sector 36
2nd row	sector 89
3rd row	sector 86
4th row	sohna road
5th row	sector 92

Common Values

Value	Count	Frequency (%)
sohna road	175	4.6%
sector 102	113	3.0%
sector 85	110	2.9%
sector 92	105	2.8%
sector 69	94	2.5%
sector 90	91	2.4%
sector 81	90	2.4%
sector 65	90	2.4%
sector 109	88	2.3%
sector 79	80	2.1%
Other values (94)	2767	72.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sector	3569	47.1%
sohna	175	2.3%
road	175	2.3%
102	113	1.5%
85	110	1.5%
92	105	1.4%
69	94	1.2%
90	91	1.2%
81	90	1.2%
65	90	1.2%
Other values (98)	2961	39.1%

Most occurring characters

Value	Count	Frequency (%)
o	3919	11.2%
r	3811	10.9%
s	3793	10.8%
	3770	10.8%
e	3618	10.3%
c	3569	10.2%
t	3569	10.2%
1	1105	3.2%
0	827	2.4%
8	808	2.3%
Other values (20)	6212	17.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23733	67.8%
Decimal Number	7498	21.4%
Space Separator	3770	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3919	16.5%
r	3811	16.1%
s	3793	16.0%
e	3618	15.2%
c	3569	15.0%
t	3569	15.0%
a	631	2.7%
d	251	1.1%
n	208	0.9%
h	193	0.8%
Other values (9)	171	0.7%

Decimal Number

Value	Count	Frequency (%)
1	1105	14.7%
0	827	11.0%
8	808	10.8%
9	805	10.7%
6	760	10.1%
7	707	9.4%
2	690	9.2%
3	668	8.9%
5	628	8.4%
4	500	6.7%

Space Separator

Value	Count	Frequency (%)
	3770	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23733	67.8%
Common	11268	32.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3919	16.5%
r	3811	16.1%
s	3793	16.0%
e	3618	15.2%
c	3569	15.0%
t	3569	15.0%
a	631	2.7%
d	251	1.1%
n	208	0.9%
h	193	0.8%
Other values (9)	171	0.7%

Common

Value	Count	Frequency (%)
	3770	33.5%
1	1105	9.8%
0	827	7.3%
8	808	7.2%
9	805	7.1%
6	760	6.7%
7	707	6.3%
2	690	6.1%
3	668	5.9%
5	628	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3919	11.2%
r	3811	10.9%
s	3793	10.8%
	3770	10.8%
e	3618	10.3%
c	3569	10.2%
t	3569	10.2%
1	1105	3.2%
0	827	2.4%
8	808	2.3%
Other values (20)	6212	17.7%

price
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	473
Distinct (%)	12.5%
Missing	18
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.505804491

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.94
median	1.5
Q3	2.7
95-th percentile	8.49
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.76

Descriptive statistics

Standard deviation	2.950121185
Coefficient of variation (CV)	1.177314988
Kurtosis	15.25781859
Mean	2.505804491
Median Absolute Deviation (MAD)	0.71
Skewness	3.311334654
Sum	9484.47
Variance	8.703215004
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	83	2.2%
0.9	68	1.8%
1.5	66	1.7%
1.2	66	1.7%
1.1	66	1.7%
1.4	63	1.7%
1.3	60	1.6%
0.95	58	1.5%
2	56	1.5%
1	51	1.3%
Other values (463)	3148	82.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	9	0.2%
0.21	6	0.2%
0.22	9	0.2%
0.23	1	< 0.1%
0.24	7	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2651
Distinct (%)	70.0%
Missing	18
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13800.16777

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	4
5-th percentile	4718.2
Q1	6808
median	9000
Q3	13765
95-th percentile	33308.2
Maximum	600000
Range	599996
Interquartile range (IQR)	6957

Descriptive statistics

Standard deviation	23052.00558
Coefficient of variation (CV)	1.67041488
Kurtosis	187.041866
Mean	13800.16777
Median Absolute Deviation (MAD)	2758
Skewness	11.43921996
Sum	52233635
Variance	531394961.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	28	0.7%
8000	19	0.5%
12500	17	0.4%
5000	17	0.4%
7500	14	0.4%
6666	14	0.4%
11111	14	0.4%
22222	13	0.3%
8333	13	0.3%
33333	11	0.3%
Other values (2641)	3625	95.3%
(Missing)	18	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED

Distinct	1312
Distinct (%)	34.7%
Missing	18
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2845.999472

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	50
5-th percentile	519
Q1	1220
median	1725
Q3	2295
95-th percentile	4200
Maximum	875000
Range	874950
Interquartile range (IQR)	1075

Descriptive statistics

Standard deviation	22783.34905
Coefficient of variation (CV)	8.005394689
Kurtosis	974.1918286
Mean	2845.999472
Median Absolute Deviation (MAD)	525
Skewness	30.23273447
Sum	10772108
Variance	519080994.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	55	1.4%
1350	51	1.3%
1800	48	1.3%
1950	44	1.2%
3240	43	1.1%
900	39	1.0%
2700	39	1.0%
2000	35	0.9%
2400	25	0.7%
2250	25	0.7%
Other values (1302)	3381	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Categorical

HIGH CARDINALITY

Distinct	2355
Distinct (%)	61.9%
Missing	0
Missing (%)	0.0%
Memory size	411.8 KiB

Plot area 360(301.01 sq.m.)	37
Plot area 300(250.84 sq.m.)	26
Plot area 502(419.74 sq.m.)	19
Plot area 200(167.23 sq.m.)	19
Super Built up area 1578(146.6 sq.m.)	17
Other values (2350)	3685

Length

Max length	124
Median length	119
Mean length	53.84196687
Min length	12

Characters and Unicode

Total characters	204761
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1780 ?
Unique (%)	46.8%

Sample

1st row	Super Built up area 1081(100.43 sq.m.)Carpet area: 650 sq.ft. (60.39 sq.m.)
2nd row	Carpet area: 1103 (102.47 sq.m.)
3rd row	Carpet area: 58141 (5401.48 sq.m.)
4th row	Built Up area: 1000 (92.9 sq.m.)Carpet area: 585 sq.ft. (54.35 sq.m.)
5th row	Super Built up area 1995(185.34 sq.m.)Built Up area: 1615 sq.ft. (150.04 sq.m.)Carpet area: 1476 sq.ft. (137.12 sq.m.)

Common Values

Value	Count	Frequency (%)
Plot area 360(301.01 sq.m.)	37	1.0%
Plot area 300(250.84 sq.m.)	26	0.7%
Plot area 502(419.74 sq.m.)	19	0.5%
Plot area 200(167.23 sq.m.)	19	0.5%
Super Built up area 1578(146.6 sq.m.)	17	0.4%
Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	17	0.4%
Super Built up area 1350(125.42 sq.m.)	17	0.4%
Plot area 270(225.75 sq.m.)	17	0.4%
Super Built up area 1650(153.29 sq.m.)Carpet area: 1022.58 sq.ft. (95 sq.m.)	15	0.4%
Super Built up area 2010(186.74 sq.m.)	14	0.4%
Other values (2345)	3605	94.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
area	5728	18.5%
sq.m	3779	12.2%
up	3102	10.0%
built	2393	7.7%
super	1915	6.2%
sq.ft	1779	5.7%
sq.m.)carpet	1208	3.9%
carpet	732	2.4%
sq.m.)built	707	2.3%
plot	682	2.2%
Other values (2846)	8965	28.9%

Most occurring characters

Value	Count	Frequency (%)
	27187	13.3%
.	20907	10.2%
a	13536	6.6%
r	9723	4.7%
e	9587	4.7%
1	9460	4.6%
s	7747	3.8%
q	7611	3.7%
t	7507	3.7%
p	6961	3.4%
Other values (25)	84535	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	84919	41.5%
Decimal Number	48415	23.6%
Space Separator	27187	13.3%
Other Punctuation	24038	11.7%
Uppercase Letter	8830	4.3%
Close Punctuation	5686	2.8%
Open Punctuation	5686	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13536	15.9%
r	9723	11.4%
e	9587	11.3%
s	7747	9.1%
q	7611	9.0%
t	7507	8.8%
p	6961	8.2%
u	6932	8.2%
m	5696	6.7%
l	3784	4.5%
Other values (5)	5835	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9460	19.5%
0	6789	14.0%
2	5850	12.1%
5	4855	10.0%
3	4071	8.4%
4	3809	7.9%
6	3772	7.8%
7	3343	6.9%
8	3238	6.7%
9	3228	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3102	35.1%
C	1944	22.0%
S	1915	21.7%
U	1187	13.4%
P	682	7.7%

Other Punctuation

Value	Count	Frequency (%)
.	20907	87.0%
:	3131	13.0%

Space Separator

Value	Count	Frequency (%)
	27187	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5686	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5686	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	111012	54.2%
Latin	93749	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13536	14.4%
r	9723	10.4%
e	9587	10.2%
s	7747	8.3%
q	7611	8.1%
t	7507	8.0%
p	6961	7.4%
u	6932	7.4%
m	5696	6.1%
l	3784	4.0%
Other values (10)	14665	15.6%

Common

Value	Count	Frequency (%)
	27187	24.5%
.	20907	18.8%
1	9460	8.5%
0	6789	6.1%
2	5850	5.3%
)	5686	5.1%
(	5686	5.1%
5	4855	4.4%
3	4071	3.7%
4	3809	3.4%
Other values (5)	16712	15.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	204761	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	27187	13.3%
.	20907	10.2%
a	13536	6.6%
r	9723	4.7%
e	9587	4.7%
1	9460	4.6%
s	7747	3.8%
q	7611	3.7%
t	7507	3.7%
p	6961	3.4%
Other values (25)	84535	41.3%

bedRoom
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.338154089

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.876733555
Coefficient of variation (CV)	0.5622069879
Kurtosis	18.61025394
Mean	3.338154089
Median Absolute Deviation (MAD)	1
Skewness	3.511539002
Sum	12695
Variance	3.522128838
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1545	40.6%
2	993	26.1%
4	676	17.8%
5	213	5.6%
1	130	3.4%
6	75	2.0%
9	41	1.1%
8	30	0.8%
12	28	0.7%
7	28	0.7%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	130	3.4%
2	993	26.1%
3	1545	40.6%
4	676	17.8%
5	213	5.6%
6	75	2.0%
7	28	0.7%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.7%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.405469366

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.93045624
Coefficient of variation (CV)	0.5668693599
Kurtosis	17.74517484
Mean	3.405469366
Median Absolute Deviation (MAD)	1
Skewness	3.257083204
Sum	12951
Variance	3.726661293
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1112	29.2%
2	1105	29.1%
4	839	22.1%
5	299	7.9%
1	160	4.2%
6	120	3.2%
7	41	1.1%
9	41	1.1%
8	26	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	160	4.2%
2	1105	29.1%
3	1112	29.2%
4	839	22.1%
5	299	7.9%
6	120	3.2%
7	41	1.1%
8	26	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	216.7 KiB

3+	1202
3	1110
2	925
1	376
0	190

Length

Max length	2
Median length	1
Mean length	1.316066263
Min length	1

Characters and Unicode

Total characters	5005
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	1
5th row	3+

Common Values

Value	Count	Frequency (%)
3+	1202	31.6%
3	1110	29.2%
2	925	24.3%
1	376	9.9%
0	190	5.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	2312	60.8%
2	925	24.3%
1	376	9.9%
0	190	5.0%

Most occurring characters

Value	Count	Frequency (%)
3	2312	46.2%
+	1202	24.0%
2	925	18.5%
1	376	7.5%
0	190	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3803	76.0%
Math Symbol	1202	24.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2312	60.8%
2	925	24.3%
1	376	9.9%
0	190	5.0%

Math Symbol

Value	Count	Frequency (%)
+	1202	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5005	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2312	46.2%
+	1202	24.0%
2	925	18.5%
1	376	7.5%
0	190	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5005	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2312	46.2%
+	1202	24.0%
2	925	18.5%
1	376	7.5%
0	190	3.8%

floorNum
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	43
Distinct (%)	1.1%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.8102537

Minimum	0
Maximum	51
Zeros	134
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.027555066
Coefficient of variation (CV)	0.8850705616
Kurtosis	4.549322941
Mean	6.8102537
Median Absolute Deviation (MAD)	3
Skewness	1.698733301
Sum	25770
Variance	36.33142008
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	513	13.5%
2	506	13.3%
1	365	9.6%
4	328	8.6%
8	197	5.2%
6	187	4.9%
10	186	4.9%
7	183	4.8%
5	177	4.7%
9	170	4.5%
Other values (33)	972	25.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	134	3.5%
1	365	9.6%
2	506	13.3%
3	513	13.5%
4	328	8.6%
5	177	4.7%
6	187	4.9%
7	183	4.8%
8	197	5.2%
9	170	4.5%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	2	0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1105
Missing (%)	29.1%
Memory size	202.8 KiB

East	642
North-East	639
North	398
West	255
South	233
Other values (3)	531

Length

Max length	10
Median length	5
Mean length	6.835804299
Min length	4

Characters and Unicode

Total characters	18443
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North-West
2nd row	North-East
3rd row	North-East
4th row	East
5th row	North-East

Common Values

Value	Count	Frequency (%)
East	642	16.9%
North-East	639	16.8%
North	398	10.5%
West	255	6.7%
South	233	6.1%
North-West	200	5.3%
South-East	174	4.6%
South-West	157	4.1%
(Missing)	1105	29.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
east	642	23.8%
north-east	639	23.7%
north	398	14.8%
west	255	9.5%
south	233	8.6%
north-west	200	7.4%
south-east	174	6.4%
south-west	157	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3868	21.0%
s	2067	11.2%
o	1801	9.8%
h	1801	9.8%
E	1455	7.9%
a	1455	7.9%
N	1237	6.7%
r	1237	6.7%
-	1170	6.3%
W	612	3.3%
Other values (3)	1740	9.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13405	72.7%
Uppercase Letter	3868	21.0%
Dash Punctuation	1170	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3868	28.9%
s	2067	15.4%
o	1801	13.4%
h	1801	13.4%
a	1455	10.9%
r	1237	9.2%
e	612	4.6%
u	564	4.2%

Uppercase Letter

Value	Count	Frequency (%)
E	1455	37.6%
N	1237	32.0%
W	612	15.8%
S	564	14.6%

Dash Punctuation

Value	Count	Frequency (%)
-	1170	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17273	93.7%
Common	1170	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3868	22.4%
s	2067	12.0%
o	1801	10.4%
h	1801	10.4%
E	1455	8.4%
a	1455	8.4%
N	1237	7.2%
r	1237	7.2%
W	612	3.5%
e	612	3.5%
Other values (2)	1128	6.5%

Common

Value	Count	Frequency (%)
-	1170	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18443	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3868	21.0%
s	2067	11.2%
o	1801	9.8%
h	1801	9.8%
E	1455	7.9%
a	1455	7.9%
N	1237	6.7%
r	1237	6.7%
-	1170	6.3%
W	612	3.3%
Other values (3)	1740	9.4%

agePossession
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	261.5 KiB

Relatively New	1676
New Property	626
Moderately Old	575
Undefined	333
Old Property	310

Length

Max length	18
Median length	14
Mean length	13.36760452
Min length	9

Characters and Unicode

Total characters	50837
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	New Property
2nd row	New Property
3rd row	Under Construction
4th row	New Property
5th row	Relatively New

Common Values

Value	Count	Frequency (%)
Relatively New	1676	44.1%
New Property	626	16.5%
Moderately Old	575	15.1%
Undefined	333	8.8%
Old Property	310	8.2%
Under Construction	283	7.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
new	2302	31.7%
relatively	1676	23.0%
property	936	12.9%
old	885	12.2%
moderately	575	7.9%
undefined	333	4.6%
under	283	3.9%
construction	283	3.9%

Most occurring characters

Value	Count	Frequency (%)
e	8689	17.1%
l	4812	9.5%
t	3753	7.4%
	3470	6.8%
y	3187	6.3%
r	3013	5.9%
d	2409	4.7%
N	2302	4.5%
w	2302	4.5%
i	2292	4.5%
Other values (15)	14608	28.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40094	78.9%
Uppercase Letter	7273	14.3%
Space Separator	3470	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8689	21.7%
l	4812	12.0%
t	3753	9.4%
y	3187	7.9%
r	3013	7.5%
d	2409	6.0%
w	2302	5.7%
i	2292	5.7%
a	2251	5.6%
o	2077	5.2%
Other values (7)	5309	13.2%

Uppercase Letter

Value	Count	Frequency (%)
N	2302	31.7%
R	1676	23.0%
P	936	12.9%
O	885	12.2%
U	616	8.5%
M	575	7.9%
C	283	3.9%

Space Separator

Value	Count	Frequency (%)
	3470	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47367	93.2%
Common	3470	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8689	18.3%
l	4812	10.2%
t	3753	7.9%
y	3187	6.7%
r	3013	6.4%
d	2409	5.1%
N	2302	4.9%
w	2302	4.9%
i	2292	4.8%
a	2251	4.8%
Other values (14)	12357	26.1%

Common

Value	Count	Frequency (%)
	3470	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50837	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8689	17.1%
l	4812	9.5%
t	3753	7.4%
	3470	6.8%
y	3187	6.3%
r	3013	5.9%
d	2409	4.7%
N	2302	4.5%
w	2302	4.5%
i	2292	4.5%
Other values (15)	14608	28.7%

super_built_up_area
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	593
Distinct (%)	31.0%
Missing	1888
Missing (%)	49.6%
Infinite	0
Infinite (%)	0.0%
Mean	1921.658251

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	89
5-th percentile	761.9
Q1	1457
median	1828
Q3	2215
95-th percentile	3187.1
Maximum	10000
Range	9911
Interquartile range (IQR)	758

Descriptive statistics

Standard deviation	767.1601693
Coefficient of variation (CV)	0.3992177948
Kurtosis	10.0830661
Mean	1921.658251
Median Absolute Deviation (MAD)	372
Skewness	1.823228498
Sum	3679975.55
Variance	588534.7253
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	38	1.0%
1950	38	1.0%
2000	26	0.7%
1578	25	0.7%
2150	23	0.6%
1640	22	0.6%
2408	20	0.5%
1900	19	0.5%
1350	19	0.5%
1930	18	0.5%
Other values (583)	1667	43.8%
(Missing)	1888	49.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	2	0.1%
4848	2	0.1%

built_up_area
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	644
Distinct (%)	37.2%
Missing	2070
Missing (%)	54.4%
Infinite	0
Infinite (%)	0.0%
Mean	2360.241413

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	2
5-th percentile	246.4
Q1	1100
median	1650
Q3	2399
95-th percentile	4662
Maximum	737147
Range	737145
Interquartile range (IQR)	1299

Descriptive statistics

Standard deviation	17719.60338
Coefficient of variation (CV)	7.507538542
Kurtosis	1710.107719
Mean	2360.241413
Median Absolute Deviation (MAD)	642
Skewness	41.21758008
Sum	4090298.369
Variance	313984343.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	34	0.9%
2700	33	0.9%
900	28	0.7%
1600	26	0.7%
2000	25	0.7%
1300	25	0.7%
1700	23	0.6%
Other values (634)	1427	37.5%
(Missing)	2070	54.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	733
Distinct (%)	37.7%
Missing	1859
Missing (%)	48.9%
Infinite	0
Infinite (%)	0.0%
Mean	2483.466943

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	15
5-th percentile	348.3
Q1	824
median	1294
Q3	1786.25
95-th percentile	2945.8
Maximum	607936
Range	607921
Interquartile range (IQR)	962.25

Descriptive statistics

Standard deviation	22375.23929
Coefficient of variation (CV)	9.009678729
Kurtosis	627.8393573
Mean	2483.466943
Median Absolute Deviation (MAD)	472
Skewness	24.7960836
Sum	4827859.738
Variance	500651333.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	36	0.9%
1600	36	0.9%
1200	32	0.8%
1500	30	0.8%
1350	28	0.7%
1650	28	0.7%
1450	23	0.6%
1300	23	0.6%
1000	22	0.6%
Other values (723)	1644	43.2%
(Missing)	1859	48.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	2	0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.5 KiB

0	3082
1	721

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

Most occurring characters

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3803	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3803	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3803	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3082	81.0%
1	721	19.0%

servant room
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.5 KiB

0	2446
1	1357

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

Most occurring characters

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3803	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	3803	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3803	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2446	64.3%
1	1357	35.7%

store room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.5 KiB

0	3459
1	344

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3803	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3803	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3803	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3459	91.0%
1	344	9.0%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.5 KiB

0	3140
1	663

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

Most occurring characters

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3803	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	3803	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3803	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3140	82.6%
1	663	17.4%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.5 KiB

0	3382
1	421

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

Most occurring characters

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3803	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3803	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3803	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3382	88.9%
1	421	11.1%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.5 KiB

0	2509
1	1078
2	216

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3803
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2509	66.0%
1	1078	28.3%
2	216	5.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	2509	66.0%
1	1078	28.3%
2	216	5.7%

Most occurring characters

Value	Count	Frequency (%)
0	2509	66.0%
1	1078	28.3%
2	216	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3803	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2509	66.0%
1	1078	28.3%
2	216	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	3803	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2509	66.0%
1	1078	28.3%
2	216	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3803	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2509	66.0%
1	1078	28.3%
2	216	5.7%

luxury_score
Real number (ℝ_≥0)

ZEROS

Distinct	161
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.94793584

Minimum	0
Maximum	174
Zeros	486
Zeros (%)	12.8%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	58
Q3	109
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	78

Descriptive statistics

Standard deviation	52.82178929
Coefficient of variation (CV)	0.7445148144
Kurtosis	-0.8553365481
Mean	70.94793584
Median Absolute Deviation (MAD)	37
Skewness	0.4702883943
Sum	269815
Variance	2790.141423
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	486	12.8%
49	353	9.3%
174	196	5.2%
44	62	1.6%
38	58	1.5%
72	56	1.5%
165	55	1.4%
60	50	1.3%
37	49	1.3%
42	46	1.2%
Other values (151)	2392	62.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	486	12.8%
5	6	0.2%
6	6	0.2%
7	43	1.1%
8	30	0.8%
9	9	0.2%
12	7	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.1%

Value	Count	Frequency (%)
174	196	5.2%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	11	0.3%
165	55	1.4%
161	3	0.1%
160	28	0.7%
159	23	0.6%
158	34	0.9%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
0	flat	signature global park 4	sector 36	0.82	7585.0	1081.0	Super Built up area 1081(100.43 sq.m.)Carpet area: 650 sq.ft. (60.39 sq.m.)	3	2	2	2.0	NaN	New Property	1081.0	NaN	650.0	0	0	0	0	0	0	8
1	flat	smart world gems	sector 89	0.95	8600.0	1105.0	Carpet area: 1103 (102.47 sq.m.)	2	2	2	4.0	NaN	New Property	NaN	NaN	1103.0	1	1	0	0	0	0	38
2	flat	pyramid elite	sector 86	0.46	79.0	58228.0	Carpet area: 58141 (5401.48 sq.m.)	2	2	1	0.0	NaN	Under Construction	NaN	NaN	58141.0	0	0	0	0	0	0	15
3	flat	breez global hill view	sohna road	0.32	5470.0	585.0	Built Up area: 1000 (92.9 sq.m.)Carpet area: 585 sq.ft. (54.35 sq.m.)	2	2	1	17.0	NaN	New Property	NaN	1000.00	585.0	0	0	0	0	0	0	49
4	flat	bestech park view sanskruti	sector 92	1.60	8020.0	1995.0	Super Built up area 1995(185.34 sq.m.)Built Up area: 1615 sq.ft. (150.04 sq.m.)Carpet area: 1476 sq.ft. (137.12 sq.m.)	3	4	3+	10.0	North-West	Relatively New	1995.0	1615.00	1476.0	0	1	0	0	1	1	174
5	flat	suncity avenue	sector 102	0.48	9022.0	532.0	Super Built up area 632(58.71 sq.m.)Carpet area: 532 sq.ft. (49.42 sq.m.)	2	2	1	5.0	North-East	Relatively New	632.0	NaN	532.0	0	0	1	0	0	0	159
6	flat	paras quartier	gwal pahari	7.50	14018.0	5350.0	Super Built up area 5350(497.03 sq.m.)	4	4	3+	20.0	North-East	New Property	5350.0	NaN	NaN	0	1	0	1	1	1	49
7	flat	experion the heartsong	sector 108	2.00	8554.0	2338.0	Super Built up area 2338(217.21 sq.m.)	3	3	3+	14.0	East	Relatively New	2338.0	NaN	NaN	0	1	0	0	0	0	95
8	flat	adani m2k oyster grande	sector 102	1.90	9105.0	2087.0	Super Built up area 1889(175.49 sq.m.)	3	4	3	8.0	North-East	Relatively New	1889.0	NaN	NaN	0	1	0	0	0	0	165
9	house	independent	sector 105	1.20	10122.0	1186.0	Plot area 1185.51(110.14 sq.m.)	6	2	1	2.0	North-West	Old Property	NaN	1185.51	NaN	0	0	0	0	0	0	9

Last rows

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	furnishing_type	luxury_score
3793	flat	gls arawali homes	sohna road	0.27	4687.0	576.0	Carpet area: 576 (53.51 sq.m.)	2	2	2	1.0	East	New Property	NaN	NaN	576.0	0	0	0	0	0	35
3794	house	independent	sector 27	8.00	26298.0	3042.0	Plot area 338(282.61 sq.m.)	9	9	3	4.0	North-East	Relatively New	NaN	3042.0	NaN	1	1	1	1	2	110
3795	flat	eldeco accolade	sohna road	0.87	5965.0	1459.0	Super Built up area 1457(135.36 sq.m.)Carpet area: 849 sq.ft. (78.87 sq.m.)	2	2	3+	10.0	NaN	Relatively New	1457.0	NaN	849.0	1	0	0	0	0	72
3796	flat	paras dews	sector 106	0.92	6642.0	1385.0	Super Built up area 1385(128.67 sq.m.)Built Up area: 940 sq.ft. (87.33 sq.m.)Carpet area: 845 sq.ft. (78.5 sq.m.)	2	2	3+	2.0	East	Relatively New	1385.0	940.0	845.0	0	0	0	0	0	174
3797	house	surendra homes dayaindependentd colony	sector 6	0.75	15625.0	480.0	Built Up area: 480 (44.59 sq.m.)	4	4	2	1.0	NaN	Undefined	NaN	480.0	NaN	0	0	0	0	0	0
3798	flat	pivotal devaan	sector 84	0.37	6346.0	583.0	Super Built up area 583(54.16 sq.m.)Carpet area: 483 sq.ft. (44.87 sq.m.)	2	2	1	5.0	North-West	Relatively New	583.0	NaN	483.0	0	0	0	0	0	73
3799	house	international city by sobha phase 1	sector 109	6.00	9634.0	6228.0	Plot area 692(578.6 sq.m.)	5	5	3+	2.0	South-West	Relatively New	NaN	6228.0	NaN	1	1	1	1	0	160
3800	flat	ansal api celebrity suites	sector 2	0.60	8163.0	735.0	Super Built up area 735(68.28 sq.m.)	1	1	1	5.0	North-East	Moderately Old	735.0	NaN	NaN	0	0	0	0	1	67
3801	house	independent	sector 43	15.50	28233.0	5490.0	Plot area 610(510.04 sq.m.)	5	6	3	3.0	East	Moderately Old	NaN	5490.0	NaN	1	1	1	1	0	76
3802	flat	m3m ikonic	sector 68	1.78	9128.0	1950.0	Super Built up area 1950(181.16 sq.m.)Built Up area: 1845 sq.ft. (171.41 sq.m.)Carpet area: 1530 sq.ft. (142.14 sq.m.)	3	3	3+	27.0	South	Relatively New	1950.0	1845.0	1530.0	0	0	0	0	1	126

Most frequently occurring

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	others	furnishing_type	luxury_score	# duplicates
0	flat	ambience caitriona	sector 24	14.00	200000.0	700.0	Built Up area: 700 (65.03 sq.m.)	4	5	3	3.0	East	Undefined	NaN	700.0	NaN	0	0	0	0	0	2
1	flat	ansal heights 86	sector 86	0.90	5325.0	1690.0	Built Up area: 1690 (157.01 sq.m.)	3	3	2	10.0	NaN	New Property	NaN	1690.0	NaN	0	0	0	0	29	2
2	flat	ansal heights 86	sector 86	1.30	4666.0	2786.0	Super Built up area 2786(258.83 sq.m.)	4	6	2	11.0	East	New Property	2786.0	NaN	NaN	0	1	1	0	86	2
3	flat	ansal housing highland park	sector 103	0.88	6429.0	1369.0	Super Built up area 1361(126.44 sq.m.)	2	2	3	3.0	NaN	New Property	1361.0	NaN	NaN	0	0	0	0	52	2
4	flat	antriksh heights	sector 84	0.85	5556.0	1530.0	Super Built up area 1350(125.42 sq.m.)	2	2	3	10.0	North-West	New Property	1350.0	NaN	NaN	1	0	1	0	24	2
5	flat	apartment	sector 92	0.75	4687.0	1600.0	Carpet area: 1600 (148.64 sq.m.)	3	4	3	2.0	East	Moderately Old	NaN	NaN	1600.0	1	0	0	0	113	2
6	flat	ashiana anmol	sohna road	0.88	11125.0	791.0	Super Built up area 1275(118.45 sq.m.)Carpet area: 791 sq.ft. (73.49 sq.m.)	2	2	2	13.0	East	Relatively New	1275.0	NaN	791.0	0	0	0	2	127	2
7	flat	assotech blith	sector 99	0.92	6739.0	1365.0	Super Built up area 1365(126.81 sq.m.)	2	2	3+	22.0	NaN	Under Construction	1365.0	NaN	NaN	0	0	0	0	56	2
8	flat	assotech blith	sector 99	1.90	6702.0	2835.0	Built Up area: 2835 (263.38 sq.m.)	4	4	3+	2.0	North-East	Undefined	NaN	2835.0	NaN	0	0	0	0	51	2
9	flat	ats tourmaline	sector 109	2.30	8897.0	2585.0	Super Built up area 2585(240.15 sq.m.)	3	4	3+	10.0	East	New Property	2585.0	NaN	NaN	0	1	1	0	74	2

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII